应用代谢网络模型解析工业微生物胞内代谢

为了快速、高效地理解工业微生物胞内代谢特征,寻找潜在的代谢工程改造靶点,基因组规模代谢网络模型(GSMM)作为一种系统生物学工具越来越受到人们的关注。文中在回顾GSMM 20年发展历程的基础上,分析了当前GSMM的研究现状,总结了GSMM的构建及分析方法,从预测细胞表型和指导代谢工程两个方面阐述了GSMM在解析工业微生物胞内代谢中的应用,并展望了GSMM未来的发展趋势。     

基因组尺度代谢网络模型在生物质燃料产生菌改造中的应用

基因组尺度代谢网络模型是以菌株高通量测序数据和各种组学数据为基础,模拟生物体的代谢过程,该模型能够预测菌种改造位点并指导具体实验,使菌种改造更理性、更直接和更省时。基因组尺度代谢网络模型在生物质燃料产生菌的改造方面已取得一定进展,在提高目标产物产量方面已取得一定效果。本文综述了基因组尺度代谢网络模型在生物质燃料产生菌改造中的应用,展望了其应用前景。     

基于酶约束的代谢网络模型研究进展及其应用

基因组尺度代谢网络模型已经成功地应用于指导代谢工程改造,但由于传统通量平衡分析法仅考虑化学计量学和反应方向约束,模拟得到的是理论最优结果,对一些现象如代谢溢流、底物层级利用等无法准确描述。近年来人们通过在代谢网络模型中引入新的蛋白量、热力学等约束发展了新的约束优化计算方法,可以更准确真实地模拟细胞在不同条件下的代谢行为。文中主要对近年来提出的多种酶约束模型进行评述,对酶约束引入的基本思路、酶约束的数学方程表示及优化目标设定、引入酶约束后对代谢通量计算结果的影响及酶约束模型在代谢工程菌种改造中的应用等进行了全面深入的介绍,并提出了已有各种方法存在的主要问题,展望了相关方法的未来发展方向。通过引入新的约束,代谢网络模型能够更精确模拟和预测细胞在环境和基因扰动下的代谢行为,为代谢工程菌种改造提供更准确可靠的指导。     

谷氨酸棒杆菌生产异亮氨酸辅因子策略及其基因组整合研究进展

L?异亮氨酸属于三大支链氨基酸,是人体8种必需氨基酸之一,广泛应用于食品、药品、保健品、化妆品等领域。目前,微生物发酵法是工业生产L?异亮氨酸的主要方法,其中谷氨酸棒杆菌（Corynebacterium glutamicum）是发酵生产L?异亮氨酸的优势菌株,然而随机诱变会使产量的提高能力达到饱和,难以得到更加高产的菌株,因此针对诱变菌株进行理性改造已成为进一步提高产量的主要方式;且随着遗传操作技术在谷氨酸棒杆菌中的应用与优化,代谢工程育种已逐渐取代传统的诱变育种。综述了谷氨酸棒杆菌中L?异亮氨酸的生物合成途径、代谢调控机制和理性改造L?异亮氨酸生产菌株的策略,并对辅助因子工程应用于理性改造及对谷氨酸棒杆菌基因组整合策略进行了系统阐述,以期为工业水平稳定生产L?异亮氨酸高产菌株的基因组整合策略提供参考依据。     

多约束代谢网络模型的研究进展

基于约束的基因组尺度代谢网络模型(genome-scale metabolic models,GEMs)分析已被广泛应用于代谢表型的预测。而实际细胞中代谢速率除计量学约束外,还受到酶资源可用性和反应热力学可行性等其他因素影响,在GEMs中整合酶资源约束或者热力学约束构建多约束代谢网络模型可以进一步缩小优化解空间,提升细胞表型预测的准确性。文中主要对近年来多约束模型的研究进展进行了综述,介绍了不同多约束模型的构建方法,以及其在研究基因敲除影响、预测可行途径和提供代谢瓶颈信息等方面的应用。将多种约束条件进一步与代谢模型整合,可更准确地预测细胞代谢的瓶颈和关键调控改造靶点,从而为工业菌种代谢工程改造提供精确的设计指导。     

谷胱甘肽在乳酸乳球菌抵抗氧胁迫中的保护作用

为研究谷胱甘肽(GSH)在乳酸乳球菌NZ9000抗氧胁迫中的生理作用,以能够生物合成GSH的重组菌NZ9000(pNZ3203)为实验菌株进行了研究。结果表明,在较高H2O2胁迫剂量(150mmol/L H2O2,15min)下,前培养3h、5h和7h(即乳酸链球菌素诱导1h、3h和5h)时的重组菌细胞的存活率分别是处于相应生长时期对照菌NZ9000(pNZ8148)的1.8±0.1倍、2.6±0.1倍和2.9±0.3倍。表明GSH可以提高宿主菌NZ9000对H2O2所引发氧胁迫的抗性。GSH还可以提高宿主菌NZ9000对其它化学物质(如超氧阴离子自由基生成剂———甲萘醌)所引发氧胁迫的抗性。这表现在经20mmol/L甲萘醌处理60min后,前培养5h(即乳酸链球菌素诱导3h)时重组菌细胞的存活率是对照菌的6.2±0.1倍。由此表明,通过代谢工程手段在菌株NZ9000中引入GSH合成能力,可以提高宿主菌对氧胁迫的抗性。     

一种基于代谢网络分析最小化基因组的方法及其在大肠杆菌中的应用

最小生命体的合成是合成生物学研究的重要方向。最小化基因组的同时而又不对细胞生长产生影响是代谢工程研究的一个重要目标。文中提出了一种从基因组尺度代谢网络模型出发,通过零通量反应删除及对非必需基因组合删除计算获得基因组最小化代谢网络模型的方法,利用该方法简化了大肠杆菌经典代谢网络模型iAF1260,由起始的1 260个基因简化得到了312个基因,而最优生物质生成速率保持不变。基因组最小化代谢网络模型预测了在细胞正常生长的前提下包含最少基因的代谢途径,为大肠杆菌获得最小基因组的湿实验设计提供了重要参考。     

工业微生物代谢网络模型的研究进展及应用

基因组规模代谢网络(Genome-scale metabolic network model,GSMM)是工业微生物菌株定向改造过程中一种极为重要的指导性工具,有助于研究者快速获取特定性状的工业微生物,因此越来越受到人们的关注。文中回顾了GSMM的发展历程,总结并评述了GSMM的构建方法,以4种重要工业微生物(枯草芽孢杆菌Bacillus subtilis、大肠杆菌Escherichia coli、谷氨酸棒杆菌Corynebacterium glutamicum和酿酒酵母Saccharomyces cerevisiae)为例,阐述了GSMM在工业微生物中的发展与应用。此外,还对GSMM未来的发展趋势进行了展望。     

黑曲霉组学研究进展

黑曲霉作为重要的工业发酵菌株,被广泛用于多种有机酸和工业用酶的生产。随着组学技术的日益发展和成熟,黑曲霉的基因组、转录组、蛋白质组、代谢组等组学数据不断增长,宣告着黑曲霉生物过程研究大数据时代的到来。从单一组学的数据分析、多组学的比较到以基因组代谢网络模型为中心的多组学整合研究,人们对黑曲霉高效生产机制的理解不断深入和系统,这为通过遗传改造和过程调控对菌株的生产性能进行理性的全局优化提供了可能。本文回顾和总结了近年来黑曲霉的组学研究进展,并提出黑曲霉组学研究未来的发展方向。     

L-苯丙氨酸生产的代谢工程研究

L-苯丙氨酸是一种重要的食品和医药中间体。工业上一般采用酶法和发酵法来生产L-苯丙氨酸。代谢工程的兴起,使得更加理性的改造菌株成为可能,这更加促进了发酵法的广泛应用。主要介绍了代谢工程在L-苯丙氨酸生产菌的改造中的应用情况,其中涉及苯丙氨酸生物合成途径中相关基因及其酶的调控、中央代谢途径的改造和芳香族氨基酸生物合成支路的修饰。并探讨了将来的发展前景。     

Introducing glutathione biosynthetic capability into Lactococcus lactis subsp. cremoris NZ9000 improves the oxidative-stress resistance of the host

This study describes how a metabolic engineering approach can be used to improve bacterial stress resistance. Some Lactococcus lactis strains are capable of taking up glutathione, and the imported glutathione protects this organism against H(2)O(2)-induced oxidative stress. L. lactis subsp. cremoris NZ9000, a model organism of this species that is widely used in the study of metabolic engineering, can neither synthesize nor take up glutathione. The study described here aimed to improve the oxidative-stress resistance of strain NZ9000 by introducing a glutathione biosynthetic capability. We show that the glutathione produced by strain NZ9000 conferred stronger resistance on the host following exposure to H(2)O(2) (150 mM) and a superoxide generator, menadione (30 microM). To explore whether glutathione can complement the existing oxidative-stress defense systems, we constructed a superoxide dismutase deficient mutant of strain NZ9000, designated as NZ4504, which is more sensitive to oxidative stress, and introduced the glutathione biosynthetic capability into this strain. Glutathione produced by strain NZ4504(pNZ3203) significantly shortens the lag phase of the host when grown aerobically, especially in the presence of menadione. In addition, cells of NZ4504(pNZ3203) capable of producing glutathione restored the resistance of the host to H(2)O(2)-induced oxidative stress, back to the wild-type level. We conclude that the resistance of L. lactis subsp. cremoris NZ9000 to oxidative stress can be increased in engineered cells with glutathione producing capability.     

Constraints-based genome-scale metabolic simulation for systems metabolic engineering

Random mutagenesis and selection approaches used traditionally for the development of industrial strains have largely been complemented by metabolic engineering, which allows purposeful modification of metabolic and cellular characteristics by using recombinant DNA and other molecular biological techniques. As systems biology advances as a new paradigm of research thanks to the development of genome-scale computational tools and high-throughput experimental technologies including omics, systems metabolic engineering allowing modification of metabolic, regulatory and signaling networks of the cell at the systems-level is becoming possible. In silico genome-scale metabolic model and its simulation play increasingly important role in providing systematic strategies for metabolic engineering. The in silico genome-scale metabolic model is developed using genomic annotation, metabolic reactions, literature information, and experimental data. The advent of in silico genome-scale metabolic model brought about the development of various algorithms to simulate the metabolic status of the cell as a whole. In this paper, we review the algorithms developed for the system-wide simulation and perturbation of cellular metabolism, discuss the characteristics of these algorithms, and suggest future research direction.     

天冬氨酸提高乳酸乳球菌Lactococcus lactis NZ9000酸胁迫抗性的作用机制

【背景】乳酸菌作为重要的发酵微生物在应用过程中面临广泛存在的酸胁迫。【目的】确认天冬氨酸可有效提高乳酸乳球菌的酸胁迫抗性,通过解析天冬氨酸的作用机制,为进一步提高乳酸菌酸胁迫抗性提供可借鉴的思路。【方法】通过荧光定量PCR比较胁迫条件下天冬氨酸对L.lactisNZ9000产能和氨基酸代谢途径中关键基因转录水平的影响,并通过过量表达天冬酰胺酶增加胞内天冬氨酸的含量。【结果】天冬氨酸主要是在转氨酶的作用下生成草酰乙酸和谷氨酸。草酰乙酸参与三羧酸循环,为细胞提供更多的能量;谷氨酸经谷氨酸脱羧酶途径提高细胞的酸胁迫抗性。经pH4.0胁迫处理后,天冬氨酸使糖酵解和三羧酸循环产能途径中关键基因转录上调,胞内ATP含量为对照组的42倍;胞内谷氨酸含量为对照的1.99倍。通过过量表达天冬酰胺酶获得的重组菌株,在pH3.6条件下胁迫0.5h后,存活率约为对照组的11.11倍。【结论】在L. lactis NZ9000中探究了天冬氨酸提高酸胁迫抗性的作用机理,进一步完善了氨基酸代谢提高乳酸菌酸胁迫抗性的理论基础。     

Nasal administration of Lactococcus lactis improves local and systemic immune responses against Streptococcus pneumoniae

Lactococcus lactis NZ9000 is a non-pathogenic non-invasive bacterium extensively used for the delivery of antigens and cytokines at the mucosal level. However, there are no reports concerning the per se immunomodulatory capacity of this strain. The aim of the present study was to investigate the intrinsic immunostimulating properties of the nasal administration of L. lactis NZ9000 in a pneumococcal infection model. Mice were preventively treated with L. lactis (2, 5 or 7 days with 10(8) cells/day per mouse) and then challenged with Streptococcus pneumoniae. The local and the systemic immune responses were evaluated. Our results showed that nasal administration of L. lactis for 5 days (LLN5d) increased the clearance rate of S. pneumoniae from lung and prevented the dissemination of pneumococci into blood. This effect coincided with an upregulation of the innate and specific immune responses in both local and systemic compartments. LLN5d increased phagocyte activation in lung, blood and bone marrow, determined by NBT and peroxidase tests. Anti-pneumococcal immunoglobulin (Ig)A in bronchoalveolar lavages (BAL) and IgG in BAL and serum were increased in the LLN5d group. Lung tissue injury was reduced by LLN5d treatment as revealed by histopathological examination and albumin concentration and lactate dehydrogenase activity in BAL. The adjuvant effect of L. lactis in our infection model would be an important advantage for its use as a delivery vehicle of pneumococcal proteins and nasal immunization with recombinant L. lactis emerges as an effective route of vaccination for both systemic and mucosal immunity against pneumococcal infection.     

Multivitamin production in Lactococcus lactis using metabolic engineering

The dairy starter bacterium Lactococcus lactis has the potential to synthesize both folate (vitamin B11) and riboflavin (vitamin B2). By directed mutagenesis followed by selection and metabolic engineering we have modified two complicated biosynthetic pathways in L. lactis resulting in simultaneous overproduction of both folate and riboflavin: Following exposure to the riboflavin analogue roseoflavin we have isolated a spontaneous mutant of L. lactis strain NZ9000 that was changed from a riboflavin consumer into a riboflavin producer. This mutant contained a single base change in the regulatory region upstream of the riboflavin biosynthetic genes. By the constitutive overproduction of GTP cyclohydrolase I in this riboflavin-producing strain, the production of folate was increased as well. Novel foods, enriched through fermentation using these multivitamin-producing starters, could compensate the B-vitamin-deficiencies that are common even in highly developed countries and could specifically be used in dietary foods for the large fraction of the Caucasian people (10-15%) with mutations in the methylene tetrahydrofolate reductase (MTHFR).     

NIBBS-search for fast and accurate prediction of phenotype-biased metabolic systems

Understanding of genotype-phenotype associations is important not only for furthering our knowledge on internal cellular processes, but also essential for providing the foundation necessary for genetic engineering of microorganisms for industrial use (e.g., production of bioenergy or biofuels). However, genotype-phenotype associations alone do not provide enough information to alter an organism's genome to either suppress or exhibit a phenotype. It is important to look at the phenotype-related genes in the context of the genome-scale network to understand how the genes interact with other genes in the organism. Identification of metabolic subsystems involved in the expression of the phenotype is one way of placing the phenotype-related genes in the context of the entire network. A metabolic system refers to a metabolic network subgraph; nodes are compounds and edges labels are the enzymes that catalyze the reaction. The metabolic subsystem could be part of a single metabolic pathway or span parts of multiple pathways. Arguably, comparative genome-scale metabolic network analysis is a promising strategy to identify these phenotype-related metabolic subsystems. Network Instance-Based Biased Subgraph Search (NIBBS) is a graph-theoretic method for genome-scale metabolic network comparative analysis that can identify metabolic systems that are statistically biased toward phenotype-expressing organismal networks. We set up experiments with target phenotypes like hydrogen production, TCA expression, and acid-tolerance. We show via extensive literature search that some of the resulting metabolic subsystems are indeed phenotype-related and formulate hypotheses for other systems in terms of their role in phenotype expression. NIBBS is also orders of magnitude faster than MULE, one of the most efficient maximal frequent subgraph mining algorithms that could be adjusted for this problem. Also, the set of phenotype-biased metabolic systems output by NIBBS comes very close to the set of phenotype-biased subgraphs output by an exact maximally-biased subgraph enumeration algorithm ( MBS-Enum ). The code (NIBBS and the module to visualize the identified subsystems) is available at http://freescience.org/cs/NIBBS.     

Transposition of IS10R in Lactococcus lactis

Aims:  To characterize the transposition mechanism of the IS-element IS 10 R and study how this element is involved in gene disruption in Lactococcus lactis .
Methods and Results:  The gene flciA confers immunity against lactococcin A in lactococci. However, the immunity function was lost when flciA was co-expressed with the regulator gene nisR on a plasmid in L. lactis NZ9000. By PCR and DNA sequencing, it was revealed that flciA in immune-negative transformants was disrupted by the IS-element IS 10 R. Such gene disruption did not occur when flciA was expressed alone nor when the plasmid-located nisR was mutated, suggesting that nisR is directly involved in the transposition. The sequence 5'-CACTTAACC-3', which was found in flciA and at both ends of the inserted IS 10 R, was identified as target site by site-directed mutagenesis.
Conclusions:  IS 10 R transposes in L. lactis NZ9000 in a nisR -dependent fashion and employs the sequence 5'-CACTTAACC-3' as integration site.
Significance and Impact of the Study:  To our knowledge, this is the first time IS 10 R and aspects of its transposition are described in the industrial important bacterium L. lactis . The highly controllable insertion of IS 10 R into a target site might present a great potential as a gene disruption system.     

表达猪传染性胃肠炎病毒S基因的重组乳酸乳球菌的构建及免疫原性分析

根据猪传染性胃肠炎病毒纤突(S)蛋白的全基因序列及表达载体质粒的基因融合特点,设计一对引物,进行PCR扩增,获得含有TGEVS基因4个主要抗原位点的约2000bp的目的片段,将其与分泌表达的载体质粒pNZ8112进行连接,通过电击转化进入宿主菌乳酸乳球菌NZ9000细胞内,在乳链菌肽(Nisin)的诱导下进行表达,通过SDS-PAGE和Western blot分析,表明TGEVS蛋白在乳酸乳球菌中获得表达,所表达的TGEVS蛋白具有与TGE病毒一样的抗原特异性。间接免疫荧光试验表明重组菌表达蛋白定位于菌体表面。将表达TGEVS蛋白的重组乳酸乳球菌及空质粒菌株分别口服免疫BALB/c小鼠,收集粪便样品进行抗体检测,结果表明分泌型的重组菌pNZ8112-Sa/NZ9000免疫小鼠能够产生明显的抗TGEVsIgA抗体。     

Engineering metabolic highways in Lactococci and other lactic acid bacteria

Lactic acid bacteria (LAB) are widely used in industrial food fermentations and are receiving increased attention for use as cell factories for the production of food and pharmaceutical products. Glycolytic conversion of sugars into lactic acid is the main metabolic highway in these Gram-positive bacteria and Lactococcus lactis has become the model organism because of its small genome, genetic accessibility and simple metabolism. Here we discuss the metabolic engineering of L. lactis and the value of metabolic models compared with other LAB, with a particular focus on the food-grade production of metabolites involved in flavour, texture and health.